Sr Engr Cslt-Data Science

When you join Verizon

You want more out of a career. A place to share your ideas freely — even if they’re daring or different. Where the true you can learn, grow, and thrive. At Verizon, we power and empower how people live, work and play by connecting them to what brings them joy. We do what we love — driving innovation, creativity, and impact in the world. Our V Team is a community of people who anticipate, lead, and believe that listening is where learning begins. In crisis and in celebration, we come together — lifting our communities and building trust in how we show up, everywhere \& always. Want in? Join the #VTeamLife.

The AI and Analytics Organization is a center of excellence supporting the Verizon Consumer Group in building data-driven experiences for customers and internal teams. You'll work closely with Business Stakeholders, Data Scientists, Data Engineers to design and deliver agentic analytics solutions that generate substantial, measurable value for the business.

What you’ll be doing...

You will be the analytics and semantic layer expert for VCG — someone who investigates business problems first, then builds the governed data infrastructure that makes those answers repeatable and scalable. You will translate complex consumer business questions into insights, and then into reliable, reusable LookML models that power both self-service dashboards and natural-language query interfaces. As the team expands into intelligent, automated analytics workflows, you will help shape how those workflows are grounded in accurate, governed data. You are expected to form hypotheses, conduct analysis, interpret results, and communicate findings — and then productize those findings into governed, scalable data models. If your career has been spent building dashboards to others' specifications, this role is not the right fit.

Responsibilities include

• Analytics \& Insight Generation: Independently investigate business questions using SQL, statistical methods, and exploratory data analysis. Form hypotheses, validate them against data, and synthesize findings into actionable recommendations for business stakeholders.
• Semantic Layer Development: Build, govern, and optimize enterprise-grade LookML models — translating validated business KPIs and analytical findings into governed, reusable Explores, derived tables, and metrics that serve as the single source of truth for dashboards and AI-assisted query interfaces.
• Conversational Analytics: Design and deliver natural-language query experiences grounded in the LookML semantic layer, enabling business users to ask questions in plain language and receive accurate, metric-consistent answers. Ensure the semantic layer functions reliably as the data backbone for Looker's conversational analytics capabilities and AI-assisted query tools.
• SQL \& Data Modeling: Author high-performance SQL for complex, large-scale consumer datasets in BigQuery. Build and maintain scalable data models that support both exploratory analysis and production reporting. Implement data validation procedures to ensure model accuracy and reliability.
• Visualization \& Reporting: Create interactive dashboards and visualizations in Looker that translate your own analytical outputs into actionable business insight — not transcribe requirements handed to you. Monitor deployed models and dashboards, identifying and resolving issues proactively.
• Agentic Workflow Contribution: Contribute to the design of automated analytical pipelines where data models and semantic definitions are consumed programmatically by LLM agents. Understand how governed semantic layers enable reliable, auditable AI-generated insights and participate in building that infrastructure.
• Stakeholder Collaboration: Meet with business stakeholders to frame analytical questions, not just gather reporting requirements. Translate consumer behavior, churn, and revenue questions into scalable analytical products. Communicate technical findings effectively to non-technical audiences.

What we’re looking for...

You are an analyst at your core who has developed strong data engineering instincts. You start with a question, dig into the data to answer it, and then build infrastructure that makes that answer reproducible at scale. You are as comfortable presenting a finding to a VP as you are optimizing a derived table in LookML.

You'll need to have

• Bachelor's degree and four or more years of relevant work experience.
• Six or more years of experience in an analytics role. Analytics Engineering or Applied AI roles with demonstrated analytical ownership are also relevant.
• Demonstrated ability to independently investigate and answer complex business questions using SQL, statistical reasoning, and structured analysis.
• Deep expertise in LookML development (Explores, derived tables, liquid parameters) and structuring validated business logic into standardized semantic layers.
• Experience building and delivering conversational or natural-language analytics interfaces.
• Hands-on experience with BigQuery and high-performance SQL for large-scale consumer datasets.
• Exposure to AI/LLM tooling — including prompt engineering, function calling, and connecting language models to structured data sources.
• Experience building interactive visualizations and self-service dashboards in Looker or similar BI platforms, where the content reflects your own analytical judgment.

Even better if you have one or more of the following

• Prior exposure to telecom, subscription services, or consumer technology analytics — particularly around churn, ARPU, and subscriber metrics.
• Experience with agentic analytics workflows — building or contributing to multi-step, automated analytical pipelines where LLM agents execute queries, perform root-cause analysis, or synthesize insights with minimal human intervention.
• Experience with Google Cloud Platform.
• A track re